{"id":"W1531866095","doi":"10.7202/601058ar","title":"L’accroissement naturel de la population catholique québécoise avant 1850 : aperçus historiographiques et quantitatifs","year":2009,"lang":"en","type":"article","venue":"L Actualité économique","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Ethnology; Demography; Humanities; Political science; Sociology; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002164301,0.0003065249,0.0003227004,0.008096743,0.002290298,0.002551523,0.001037225,0.0005363641,0.004003357],"category_scores_gemma":[0.004724083,0.0002662044,0.0004133717,0.01068849,0.002308066,0.001113077,0.000703079,0.0008387942,0.0001654159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0507117,"about_ca_system_score_gemma":0.01906952,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.988735,"about_ca_topic_score_gemma":0.9897121,"domain_scores_codex":[0.9991147,0.0001588999,0.00004026983,0.000140186,0.0003185343,0.0002274732],"domain_scores_gemma":[0.9963251,0.0009399407,0.0003952908,0.0001295414,0.002022644,0.0001874652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001229011,0.00004464698,0.708093,0.0004648255,0.0002863746,0.0002426872,0.02464857,0.007618631,0.00136403,0.09566265,0.01302318,0.1484286],"study_design_scores_gemma":[0.000004073923,0.00002649586,0.9073359,0.0001390977,0.00003704504,0.00008499279,0.003054117,0.001757189,0.0005381013,0.001241429,0.08572995,0.00005159603],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9276955,0.01949898,0.003311019,0.007198193,0.00006976495,0.00004361268,0.007160809,0.00006585607,0.0349563],"genre_scores_gemma":[0.9841475,0.004695933,0.001530001,0.0002134331,0.00004783515,0.00002855596,0.001340033,0.00001948376,0.007977084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0507117,"threshold_uncertainty_score":0.3679409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01634840372640318,"score_gpt":0.290500551014656,"score_spread":0.2741521472882528,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}